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DBMS > Apache Pinot vs. Atos Standard Common Repository vs. Datomic vs. Hypertable vs. SpaceTime

System Properties Comparison Apache Pinot vs. Atos Standard Common Repository vs. Datomic vs. Hypertable vs. SpaceTime

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonSpaceTime  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSWide column storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitepinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comwww.mireo.com/­spacetime
Technical documentationdocs.pinot.apache.orgdocs.datomic.com
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsCognitectHypertable Inc.Mireo
Initial release20152016201220092020
Current release1.0.0, September 202317031.0.6735, June 20230.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, ClojureC++C++
Server operating systemsAll OS with a Java JDK11 or higherLinuxAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSQL-like query languagenononoA subset of ANSI SQL is implemented
APIs and other access methodsJDBCLDAPRESTful HTTP APIC++ API
Thrift
RESTful HTTP API
Supported programming languagesGo
Java
Python
All languages with LDAP bindingsClojure
Java
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnono
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionnone infoBut extensive use of caching in the application peersShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentno
User concepts infoAccess controlLDAP bind authenticationnonoyes

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More resources
Apache PinotAtos Standard Common RepositoryDatomicHypertableSpaceTime
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